South Jakarta, Jakarta, Indonesia
Open 6 months, first seen by us 184 days agoWork setup in the employer’s posting: On-siteFrom the employer’s posting
Employment type in the employer’s posting: ContractFrom the employer’s posting
Design, build and deploy propensity, credit risk and other statistical models
Analyse large, complex datasets to find trends, patterns and anomalies
Build analytical solutions for segmentation, fraud detection and performance optimization
Present model results to technical and non-technical audiences
Design, build, and deploy advanced propensity models, credit risk models, and other statistical models
Conduct in-depth analysis of large and complex datasets to identify trends, patterns, and anomalies
Develop and implement analytical solutions for banking operations, including customer segmentation, fraud detection, and performance optimization
Present findings and model performance to both technical and non-technical audiences
Minimum of 5 years of professional experience as a Data Scientist, with a significant focus on the banking or financial services industry
Proven experience in building and deploying models for credit risk, propensity modeling, or other relevant banking analytics projects
Proficiency in programming languages such as Python or R
Strong knowledge of machine learning algorithms (e.g., classification, regression, clustering)
Experience with SQL and database management
Familiarity with big data & cloud technologies is a plus
Open 6 monthsWe first saw this posting 184 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
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Day 184
Up longer than most. Similar jobs usually come down between day 8 and day 60.
Well past Devoteam’s usual: its jobs come down by about day 22.
From 11,783 similar postings that came down, and 152 of Devoteam’s. Coming down is not always a hire.
44 open jobs
Open jobs by the week we first saw them, last 12 weeks.
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- Good understanding on building performance dashboards, sales models (propensity, segmentation, income proxy), credit models (A-score, B-score) - Proficiency in programming languages such as Python or R. - Strong knowledge of machine learning algorithms (e.g., classification, regression, clustering).
- Strong knowledge of machine learning algorithms (e.g., classification, regression, clustering). - Experience with SQL and database management. - Hands-on experience with data manipulation and analysis libraries (e.g., Pandas, NumPy, Scikit-learn).
#Creative Tech for Better Change Devoteam has launched in January 2021 its new strategic plan, Infinite 2024, with the ambition to become the #1 EMEA partner of the leading Cloud-based platform companies (AWS, Google Cloud, Microsoft, Salesforce, ServiceNow), further reinforced by deep expertise in digital strategy, cybersecurity, and data.
- Experience with SQL and database management. - Hands-on experience with data manipulation and analysis libraries (e.g., Pandas, NumPy, Scikit-learn). - Familiarity with big data & cloud technologies is a plus.
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New Data Scientist postings at the employers we follow are down 4% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Data Scientist, by the work the posting describes.
Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.
Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.
Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
Key Responsibilities:
Model Development: Design, build, and deploy advanced propensity models, credit risk models, and other statistical models to address various business challenges within the banking domain.
Data Analysis: Conduct in-depth analysis of large and complex datasets to identify trends, patterns, and anomalies.
Analytical Solution: Develop and implement analytical solutions for banking operations, including customer segmentation, fraud detection, and performance optimization.
Collaboration: Work closely with business stakeholders, data engineers, and other teams to understand business requirements and deliver effective data-driven solutions.
Reporting: Present findings and model performance to both technical and non-technical audiences in a clear and concise manner.
Innovation: Stay updated with the latest advancements in data science, machine learning, and the banking industry to propose and implement innovative solutions.
Qualifications:
● Experience: Minimum of 5 years of professional experience as a Data Scientist, with a significant focus on the banking or financial services industry.
● Technical Skills:
● Industry Knowledge: Proven experience in building and deploying models for credit risk, propensity modeling, or other relevant banking analytics projects.
● Soft Skills:
This position will be assigned to an FSI client's project.
Devoteam is a leading consulting firm focused on digital strategy, tech platforms, and cybersecurity.
By combining creativity, tech, and data insights, we empower our customers to transform their business and unlock the future.
With 25 years’ of experience and 8,000 employees across Europe and the Middle East, Devoteam promotes responsible tech for people and works to create better change.
#Creative Tech for Better Change
Devoteam has launched in January 2021 its new strategic plan, Infinite 2024, with the ambition to become the #1 EMEA partner of the leading Cloud-based platform companies (AWS, Google Cloud, Microsoft, Salesforce, ServiceNow), further reinforced by deep expertise in digital strategy, cybersecurity, and data.
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South Jakarta, Jakarta, Indonesia
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